Staff Software Engineer - Humanoid Controls

Apptronik Apptronik · Robotics · MV · Advanced Technologies

Staff Software Engineer focused on Humanoid Controls for Apptronik's Apollo robot. The role involves advancing whole-body control, learning-based hand control, mobile manipulation, and teleoperation, translating state-of-the-art methods into robust capability for production at scale. This includes setting technical direction, mentoring engineers, and collaborating cross-functionally.

What you'd actually do

  1. Raise the quality of the overall controls stack — architecture, algorithms, real-time performance, testing, and long-term maintainability.
  2. Advance whole-body control across our platforms — the wheeled-base robot and the biped — coordinating the base or legs with upper-body manipulation.
  3. Flex across the stack to the highest-impact problems — e.g. learning-based hand control (RL in simulation), mobile manipulation, teleoperation, and estimation.
  4. Translate state-of-the-art model-based and learning-based methods into robust capability, from simulation through hardware bring-up and deployment.
  5. Expand the robot's performance envelope — speed, payload, reliability, and safety — with measurable, defensible improvements.

Skills

Required

  • Deep robotics fundamentals: kinematics, dynamics, state estimation, and optimization/control theory.
  • Proven expertise in whole-body control (WBC/OSC, QP-based control, or MPC) for floating-base (legged) or mobile (wheeled) systems.
  • Hands-on experience with learning-based control / reinforcement learning applied to robotics (training in simulation).
  • Breadth across robot control problems — mobile manipulation, dexterity / hand control, and teleoperation — and the versatility to move between them.
  • Strong software engineering: real-time C++ and Python for robotic systems.
  • Industry experience developing production-grade controllers, including hands-on experience validating or deploying algorithms on physical robot hardware.

Nice to have

  • shipping controllers to a production fleet or to market at scale
  • dexterous / in-hand manipulation
  • legged locomotion
  • safety-critical / certified software (ISO 13849, 10218, IEC 61508)

What the JD emphasized

  • production-grade controllers
  • physical robot hardware
  • shipping controllers to a production fleet or to market at scale

Other signals

  • applying expertise across the full robotics stack
  • bringing Apollo to market at scale
  • commercialization
  • mass production
  • state-of-the-art controls and learning into real capability
  • setting technical direction for the team
  • shipping controllers to a production fleet or to market at scale